International Journal of Agricultural Research and Review

ISSN 2360-7971

An Examination of the Implementation of Artificial Intelligence in Agricultural Extension of Developing Nations: A Comprehensive Analysis

Abstract Developing nations primarily depend on rain-fed agriculture and traditional methods to manage and prevent crop pests and diseases. However, the impact of global warming has significantly reduced agricultural productivity in these regions, making them more susceptible to food insecurity. The lack of sufficient extension services and limited access to information provided by agricultural organizations at both local and national levels has resulted in the decreased productivity of arable lands in these countries. This research contends that utilizing digital tools can assist farmers in enhancing farm output in the face of the aforementioned issues. Artificial intelligence (AI) and machine learning (ML) are advanced technologies that can be used to create applications that offer farmers with precise and up-to-date agricultural information, which is crucial for making informed decisions. This research aims to determine the role of artificial intelligence (AI) in agriculture to address the issues encountered by farmers in developing countries. 


Keywords: Artificial Intelligence, e-agriculture, Information Communication and Technology (ICT), Internet of Things (IoT), Smart Farming,